Instructions to use dataautogpt3/FLUX-SyntheticAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/FLUX-SyntheticAnime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dataautogpt3/FLUX-SyntheticAnime") prompt = "1980s anime screengrab, VHS quality, a woman with her face glitching and disorted, a halo above her head" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- a97b8dfdea4aa6dc9b9d51252e67fa5305817ce5e363ce14dfa775202a61f300
- Size of remote file:
- 2.04 MB
- SHA256:
- fb77e61c3dc2c22720df0f20ff391182e17b36b7f1fc22c7c1be1f4fbd78a500
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